| Title: | The approach of using a horizontally layered soil model for inhomogeneous soil, by taking into account the deeper layers of the soil, and determining the model’s parameters using evolutionary methods |
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| Authors: | ID Jesenik, Marko (Author)
ID Trbušić, Mislav (Author) |
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| Files: |  applsci-15-01420.pdf (6,81 MB)
MD5: A6C199C2584EFB8E80FE1A93690439BD
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | A new approach using a horizontally layered analytical soil model for inhomogeneous soil is presented. The presented approach also considers deeper soil layers, which is not the case when simply dividing the area of interest into smaller subareas. The finite element method model was used to prepare test data because, in such a case, the soil parameters are known. Six lines simulating Wenner’s method were used, and their results were combined appropriately to determine the soil parameters of nine subareas. To determine the soil parameters in the scope of each subarea, different optimization methods were used and compared to each other. The results were analyzed, and Artificial Bee Colony was selected as the most appropriate method among those tested. Additionally, the convergence of the methods was analyzed, and Memory Assistance is presented, with the aim of shortening the calculation time. In this study, three-, four-, five-, and six-layered soil models were tested, and it is concluded that the three-layered model is most appropriate. A finite element method model based on the soil determination results was constructed to verify the results. The results of the Wenner’s method simulation in the cases of the test data and final model were compared to confirm the accuracy of the presented method |
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| Keywords: | grounding system, soil model, finite element method, differential evolution, artificial bee colony, teaching–learning-based optimization |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 20.01.2025 |
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| Article acceptance date: | 26.01.2025 |
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| Publication date: | 30.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | 25 str. |
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| Numbering: | Vol. 15, iss. 3, [article no.] 1420 |
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| PID: | 20.500.12556/DKUM-91882  |
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| UDC: | 621.3 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 226883587 |
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| Copyright: | © 2025 by the authors |
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| Publication date in DKUM: | 21.02.2025 |
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| Views: | 164 |
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| Downloads: | 9 |
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| Metadata: |    |
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| Categories: | Misc.
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